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Duration 21 hours
Course Outline
- Preliminary Phase: Discovery
- Two discovery sessions
- Consultative dialogue with the client and relevant departments
- Identification of operational problems and bottlenecks
- Selection of AI tools suitable for the company’s ecosystem
- Establishment of success criteria
- Activity: Compile a list of five to eight potential challenges, noting data availability and key contacts.
- Outcome: Challenges, tool selection, and success criteria are formally defined.
- Two discovery sessions
- Day 1: Tooling, Team Formation, and Sprint Initiation
- Tool Onboarding
- 20-minute hands-on practice for each tool
- Introduction to ChatGPT, Claude, and Claude Cowork
- Use of Lovable and Cursor for prototyping
- Automation workflows using Make.com and n8n
- Exploration of industry-specific tools
- Activity: Solve a mini-task using each respective tool.
- Team Formation and Challenge Refinement
- Formation of teams consisting of three to four members
- Selection and refinement of the specific challenge
- Creation of a solution sketch and final tool selection for each team
- Activity: Document a one-page solution sketch.
- Sprint Kick-off
- Construction of the initial version
- Trainer facilitates by rotating among teams
- Coaching on tool usage, prompt engineering, and structural design
- Activity: Achieve a first working version by the end of the day.
- Outcome: Each team possesses a refined challenge and an initial working prototype.
- Tool Onboarding
- Day 2: Sprint Continuation, Demonstration, and Adoption Planning
- Advanced Sprint
- Building, testing, and iterative improvement
- Testing solutions against real-world data or cases
- Morning interim review
- Activity: Validate the solution using three real-world cases.
- Demonstration and Evaluation
- Pitch presentation to management
- Evaluation based on business value and feasibility
- Integration of feedback
- Activity: Present the solution within a five-minute timeframe.
- Usage Planning
- Identifying components to be utilized starting the following week
- Defining success metrics
- Outlining stages for future expansion
- Activity: Draft a usage plan comprising three steps for the team’s solution.
- Outcome: Each team departs with a working solution, a delivered pitch, and a plan for immediate adoption.
- Advanced Sprint
Requirements
- Participants require a laptop, access to approved AI tools, and a concrete problem statement from their respective domains.
- No prior technical expertise is necessary.
Target Audience
- Hybrid teams from business departments and IT seeking to apply AI to their specific challenges and secure viable solutions.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
